Code vectors: understanding programs through embedded abstracted symbolic traces

Article Details
Title:	Code vectors: understanding programs through embedded abstracted symbolic traces
Article URLs:	https://doi.org/10.1145/3236024.3236085
Alternative Article URLs:	https://arxiv.org/abs/1803.06686 https://pages.cs.wisc.edu/~jjhenkel/papers/fse18-code-vectors.pdf
Authors:	Jordan Henkel	University of Wisconsin-Madison
	Shuvendu K. Lahiri	Microsoft Research
	Ben Liblit	University of Wisconsin-Madison
	Thomas W. Reps	University of Wisconsin-Madison GrammaTech, Inc.
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review. awarded
Artifact URLs:	https://github.com/jjhenkel/c2ocaml https://github.com/jjhenkel/lsee https://github.com/jjhenkel/code-vectors-artifact https://doi.org/10.5281/zenodo.1297689
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1318489, 1420866, 1423237
DBLP Key:	conf/sigsoft/HenkelLLR18
Author Comments:

ACM Foundations of Software Engineering, FSE 2018